Machine learning identifies a 5-serum cytokine panel for the early detection of chronic atrophy gastritis patients.

Journal: Cancer biomarkers : section A of Disease markers
PMID: 39269824

Abstract

BACKGROUND: Chronic atrophy gastritis (CAG) is a high-risk pre-cancerous lesion for gastric cancer (GC). The early and accurate detection and discrimination of CAG from benign forms of gastritis (e.g. chronic superficial gastritis, CSG) is critical for optimal management of GC. However, accurate non-invasive methods for the diagnosis of CAG are currently lacking. Cytokines cause inflammation and drive cancer transformation in GC, but their utility as a diagnostic for CAG is poorly characterized.

Authors

  • Fangmei An
    Department of Gastroenterology, Wuxi People's Hospital Affiliated to Nanjing Medical University, Wuxi, Jiangsu, China.
  • Yan Ge
    CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China. Electronic address: gey@psych.ac.cn.
  • Wei Ye
    AliveX Biotech, Shanghai, China.
  • Lin Ji
    Department of Gastroenterology, Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi People's Hospital, Wuxi Medical Center, Nanjing Medical University, National Clinical Research Center for Digestive Diseases (Xi 'an) Jiangsu Branch Wuxi, Jiangsu, China.
  • Ke Chen
    Department of Signal Processing, Tampere University of Technology, Finland.
  • Yunfei Wang
    Department of Gastroenterology, Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi People's Hospital, Wuxi Medical Center, Nanjing Medical University, National Clinical Research Center for Digestive Diseases (Xi 'an) Jiangsu Branch Wuxi, Jiangsu, China.
  • Xiaoxue Zhang
    School of Management, Harbin University of Commerce, Harbin, China.
  • Shengrong Dong
    Department of Gastroenterology, Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi People's Hospital, Wuxi Medical Center, Nanjing Medical University, National Clinical Research Center for Digestive Diseases (Xi 'an) Jiangsu Branch Wuxi, Jiangsu, China.
  • Yao Shen
    Department of Computer Science and Engineering, Shanghai Jiao Tong University, Dongchuan Rd. 800, Shanghai, 200240 China.
  • Jiamin Zhao
    Department of Gastroenterology, Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi People's Hospital, Wuxi Medical Center, Nanjing Medical University, National Clinical Research Center for Digestive Diseases (Xi 'an) Jiangsu Branch Wuxi, Jiangsu, China.
  • Xiaojuan Gao
    Department of Gastroenterology, Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi People's Hospital, Wuxi Medical Center, Nanjing Medical University, National Clinical Research Center for Digestive Diseases (Xi 'an) Jiangsu Branch Wuxi, Jiangsu, China.
  • Simon Junankar
    AliveX Biotech, Darlington, Australia.
  • Robin Barry Chan
    AliveX Biotech, Shanghai, China.
  • Dimitris Christodoulou
    AliveX Biotech, Shanghai, China.
  • Wen Wen
    School of Computer Science, Guangdong University of Technology, China. Electronic address: wwen@gdut.edu.cn.
  • Peihua Lu
    Department of Medical Oncology, Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi People's Hospital, Wuxi Medical Center, Nanjing Medical University, Wuxi, Jiangsu, China.
  • Qiang Zhan
    Department of Gastroenterology, Wuxi People's Hospital, Affiliated Wuxi People's Hospital with Nanjing Medical University, Wuxi, Jiangsu 214023, China.

Keywords

External Resources

Popular Topics
Recent Journals